public static List <Descriptor> Calculate(Mat image, List <InterestingPoint> points)
{
var dx = new Mat(image.Width, image.Height);
var dy = new Mat(image.Width, image.Height);
var gradient = SobelHelper.Sobel(image, dx, dy, BorderWrapType.Mirror);
return(Calculate(dx, dy, gradient, points));
}
public static List <InterestingPoint> DoMoravec(double minValue, int windowSize, int shiftSize, int locMaxRadius, Mat image)
{
_image = image.Clone();
_image = SobelHelper.Sobel(_image, BorderWrapType.Mirror); // Считаем градиент в каждой точке
Mat mistakeImage = GetMinimums(_image, windowSize, shiftSize);
List <InterestingPoint> candidates =
CommonMath.getCandidates(mistakeImage, mistakeImage.Height, mistakeImage.Width, locMaxRadius, minValue);
return(candidates);
}
public static List <Descriptor> Calculate(Mat image, List <InterestingPoint> points)
{
var dx = new Mat(image.Width, image.Height);
var dy = new Mat(image.Width, image.Height);
var gradient = SobelHelper.Sobel(image, dx, dy, BorderWrapType.Mirror);
var descriptors = new List <Descriptor>();
var step = 2 * Math.PI / BINS_COUNT;
foreach (var center in points)
{
var bins = new double[BINS_COUNT];
int from = GRID_SIZE * BLOCK_SIZE / 2,
to = GRID_SIZE * BLOCK_SIZE - from;
for (var u = -from; u < to; u++)
{
for (var v = -from; v < to; v++)
{
int x = center.getX() + u,
y = center.getY() + v;
var theta = Math.Atan2(dy.GetPixel(x, y, BorderWrapType.Mirror),
dx.GetPixel(x, y, BorderWrapType.Mirror)) + Math.PI;
var magnitude = gradient.GetPixel(x, y, BorderWrapType.Mirror);
var leftBin = Math.Min((int)Math.Floor(theta / step), BINS_COUNT - 1);
var rightBin = (leftBin + 1) % BINS_COUNT;
var ratio = theta % step / step;
bins[leftBin] += magnitude * (1 - ratio);
bins[rightBin] += magnitude * ratio;
}
}
var vector = new Vector(BINS_COUNT, bins).Normalize();
descriptors.Add(new Descriptor
{
Point = center,
Vector = vector
});
}
return(descriptors);
}
private void button1_Click(object sender, EventArgs e)
{
BorderWrapType Edgemode = BorderWrapType.Mirror;
if (RB_Zero.Checked == true)
{
Edgemode = BorderWrapType.Black;
}
if (RB_EdgeCoppy.Checked == true)
{
Edgemode = BorderWrapType.Copy;
}
if (RB_EdgeReflection.Checked == true)
{
Edgemode = BorderWrapType.Wrap;
}
if (RB_WrapImage.Checked == true)
{
Edgemode = BorderWrapType.Mirror;
}
Mat sobelMat = new Mat(_image.Width, _image.Height);
Mat sobelMatX = new Mat(_image.Width, _image.Height);
Mat sobelMatY = new Mat(_image.Width, _image.Height);
if (RB_Sobel.Checked == true)
{
sobelMat = SobelHelper.Sobel(_image, sobelMatX, sobelMatY, Edgemode);
}
Bitmap picture;
picture = Transformer.FromMatToBitmap(sobelMatX);
pictureBox1.Image = picture;
picture = Transformer.FromMatToBitmap(sobelMatY);
pictureBox2.Image = picture;
picture = Transformer.FromMatToBitmap(sobelMat);
pictureBox3.Image = picture;
}
/*
* public static WrappedImage GetHarrisMatrix(int windowSize, int windowRadius, int width, int height)
* {
* WrappedImage harrisMat = new WrappedImage(height, width);
*
* Mat SobelX = SobelHelper.GetSobelX(_image, BorderHandling.Mirror);
* Mat SobelY = SobelHelper.GetSobelY(_image, BorderHandling.Mirror);
*
* for (int y = 0; y < height; y++)
* {
* for (int x = 0; x < width; x++)
* {
* double[,] gauss = ConvolutionMatrix.CountGaussMatrix(windowSize);
*
* // Считаем матрицу H
* double[,] currentMatrix = new double[2, 2];
* for (int u = -windowRadius; u <= windowRadius; u++)
* {
* for (int v = -windowRadius; v <= windowRadius; v++)
* {
* double Ix = WrappedImage.getPixel(SobelX, y + u, x + v, BorderHandling.Mirror);
* double Iy = WrappedImage.getPixel(SobelY, y + u, x + v, BorderHandling.Mirror);
*
* double gaussPoint = CommonMath.getPixel(gauss, u + windowRadius, v + windowRadius, 3);
*
* currentMatrix[0, 0] += Math.Pow(Ix, 2) * gaussPoint;
* currentMatrix[0, 1] += Ix * Iy * gaussPoint;
* currentMatrix[1, 0] += Ix * Iy * gaussPoint;
* currentMatrix[1, 1] += Math.Pow(Iy, 2) * gaussPoint;
* }
* }
*
* double[] eigenvalues = getEigenvalues(currentMatrix);
* harrisMat.buffer[y, x] = Math.Min(eigenvalues[0], eigenvalues[1]);
* }
* }
*
* return harrisMat;
* }
*
* static public double[] getEigenvalues(double[,] matrix) // Считаем собственные числа
* {
* double[] eigenvalues = new double[2];
*
* double a = 1;
* double b = -matrix[0, 0] - matrix[1, 1];
* double c = matrix[0, 0] * matrix[1, 1] - matrix[0, 1] * matrix[1, 0];
* double d = Math.Pow(b, 2) - 4 * a * c;
* if (Math.Abs(d) < 1e-4)
* d = 0;
* if (d < 0)
* {
* return eigenvalues;
* }
*
* eigenvalues[0] = (-b + Math.Sqrt(d)) / (2 * a);
* eigenvalues[1] = (-b - Math.Sqrt(d)) / (2 * a);
*
* return eigenvalues;
* }
*/
public static Mat Find(Mat image, int radius, double threshold, BorderWrapType borderWrap)
{
var gauss = Gauss.GetFullKernel(radius / 3D);
var gaussK = gauss.Width / 2;
var dx = new Mat(image.Width, image.Height);
var dy = new Mat(image.Width, image.Height);
SobelHelper.Sobel(image, dx, dy, BorderWrapType.Mirror);
var lambdas = new Mat(image.Width, image.Height);
for (var x = 0; x < image.Width; x++)
{
for (var y = 0; y < image.Height; y++)
{
double a = 0, b = 0, c = 0;
for (var u = -radius; u <= radius; u++)
{
for (var v = -radius; v <= radius; v++)
{
var multiplier = gauss.GetAt(u + gaussK, v + gaussK);
a += multiplier * MathHelper.Sqr(dx.GetPixel(x + u, y + v, borderWrap));
b += multiplier * dx.GetPixel(x + u, y + v, borderWrap) *
dy.GetPixel(x + u, y + v, borderWrap);
c += multiplier * MathHelper.Sqr(dy.GetPixel(x + u, y + v, borderWrap));
}
}
lambdas.Set(x, y, LambdaMin(a, b, c));
}
}
return(CornerDetectionHelper.FindPoints(lambdas, threshold));
}
